The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 9 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Assertion Not checkable as stated
ClickHouse sees demand to migrate workloads off Snowflake, BigQuery, and Redshift
“In the cloud data warehouse market, to answer your question specifically around Snowflake, we do see demand for customers to migrate off of technologies like BigQuery and Redshift, and Snowflake either for Cost or performance or both.”
Aaron Katz Jun 13, 2024 ▶ 25:48 How ClickHouse powers Netflix, Uber and Spotify’s Analytics | Aaron Katz, CEO of ClickHouse
Assertion Contradicted
Elsamadisi: Redshift, Snowflake, and BigQuery perform identically on long tables
“The speed improvement on Redshift and versus Snowflake versus BigQuery becomes interchangeable. Because what they handle is for those edge cases, we have like a bunch of, like Snowflake is really good at a bunch of small tables everywhere trying to load a memo…”
Ahmed Elsamadisi Nov 13, 2019 ▶ 18:26 How to Answer Data Questions Without Being Miserable // Ahmed Elsamadisi, Narrator (Data Driven NYC)
Assertion Supported
Muglia: Dynamic compute scaling is impossible with Amazon Redshift
“In fact, it's possible to change the size dynamically on the fly based on the kinds of queries you're running. And none of that is possible with a traditional data warehouse running on premises or even a traditional data warehouse like Redshift running within,…”
Bob Muglia Apr 20, 2015 ▶ 7:04 Bob Muglia, Snowflake // Navigating The Cloud (Hosted by FirstMark Capital)
Assertion Contradicted
Muglia: Snowflake delivers better price performance than Amazon Redshift
“We were even actually found ourselves to be more price performance Than other cloud solutions like Redshift.”
Bob Muglia Apr 20, 2015 ▶ 16:32 Bob Muglia, Snowflake // Navigating The Cloud (Hosted by FirstMark Capital)
Assertion Not checkable as stated
Cloud data warehouses enabled modern multi-tool data architectures
“Architectures like this really have only become possible with the rise of folks like Snowflake, Databricks, Redshift, BigQuery, and this idea that as a data practitioner, I can have infinite compute at the kind of tips of my fingers without having to go outsid…”
Viraj Parekh Oct 10, 2022 ▶ 2:20 Modern Data Orchestration | Astronomer Co-Founders Pete DeJoy & Viraj Parekh
Assertion Supported
Fraser: Amazon Redshift was the first cheap, fast data warehouse
“Redshift was incredibly important because it was, it came out in 2013. It was in the AWS console. It wasn't the first really good fast data warehouse, but it was the first one that was cheap.”
George Fraser Sep 18, 2020 ▶ 5:09 Fireside Chat: George Fraser (Founder & CEO, Fivetran) with Matt Turck (Partner, FirstMark)
Opinion
Ben Rogojan is not a fan of Amazon Redshift
“Not a big Redshift fan.”
Ben Rogojan (Seattle Data Guy) Jan 23, 2025 ▶ 43:14 Understanding Data Engineering in 2025 | Ben Rogojan, Seattle Data Guy
Assertion Not checkable as stated
Instacart's data stack relies on Postgres, AWS Redshift, Python, and R
“All of our production data is in Postgres, and we will read from the secondaries in AWS. We push all of the Postgres data into Redshift and do a lot of more intensive batch computations off of Redshift. The data science teams are using either Python or R we do…”
Jeremy Stanley Sep 30, 2016 ▶ 17:10 Making On-Demand Delivery Profitable // Jeremy Stanley, Instacart (Data Driven NYC / FirstMark)
Disclosure
Cazena selected Redshift, Greenplum, Cloudera, and RStudio for its data platform
“We picked Redshift and Greenplum for SQL. We picked Cloudetta for Hadoop and Spark. We've added RStudio for data science.”
Prat Moghe May 24, 2017 ▶ 13:57 Big Data as a Service // Prat Moghe, Cazena (FirstMark's Data Driven)
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.